{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:\n",
      "The TensorFlow contrib module will not be included in TensorFlow 2.0.\n",
      "For more information, please see:\n",
      "  * https://github.com/tensorflow/community/blob/master/rfcs/20180907-contrib-sunset.md\n",
      "  * https://github.com/tensorflow/addons\n",
      "  * https://github.com/tensorflow/io (for I/O related ops)\n",
      "If you depend on functionality not listed there, please file an issue.\n",
      "\n",
      "/opt/CHINESE-OCR-API\n",
      "WARNING:tensorflow:From /opt/CHINESE-OCR-API/ctpn2/ctpn2.py:15: The name tf.Session is deprecated. Please use tf.compat.v1.Session instead.\n",
      "\n",
      "WARNING:tensorflow:From /opt/CHINESE-OCR-API/ctpn2/ctpn2.py:15: The name tf.ConfigProto is deprecated. Please use tf.compat.v1.ConfigProto instead.\n",
      "\n",
      "WARNING:tensorflow:From /opt/CHINESE-OCR-API/ctpn2/ctpn2.py:17: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead.\n",
      "\n",
      "WARNING:tensorflow:From /opt/CHINESE-OCR-API/ctpn2/ctpn2.py:20: The name tf.get_variable is deprecated. Please use tf.compat.v1.get_variable instead.\n",
      "\n",
      "WARNING:tensorflow:From /opt/CHINESE-OCR-API/ctpn2/nets/vgg.py:16: The name tf.variable_scope is deprecated. Please use tf.compat.v1.variable_scope instead.\n",
      "\n",
      "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow_core/contrib/layers/python/layers/layers.py:1057: Layer.apply (from tensorflow.python.keras.engine.base_layer) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Please use `layer.__call__` method instead.\n",
      "WARNING:tensorflow:From /opt/CHINESE-OCR-API/ctpn2/nets/model_train.py:30: LSTMCell.__init__ (from tensorflow.python.ops.rnn_cell_impl) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "This class is equivalent as tf.keras.layers.LSTMCell, and will be replaced by that in Tensorflow 2.0.\n",
      "WARNING:tensorflow:From /opt/CHINESE-OCR-API/ctpn2/nets/model_train.py:33: bidirectional_dynamic_rnn (from tensorflow.python.ops.rnn) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Please use `keras.layers.Bidirectional(keras.layers.RNN(cell))`, which is equivalent to this API\n",
      "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/ops/rnn.py:464: dynamic_rnn (from tensorflow.python.ops.rnn) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Please use `keras.layers.RNN(cell)`, which is equivalent to this API\n",
      "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/ops/rnn_cell_impl.py:958: Layer.add_variable (from tensorflow.python.keras.engine.base_layer) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Please use `layer.add_weight` method instead.\n",
      "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/ops/rnn_cell_impl.py:962: calling Zeros.__init__ (from tensorflow.python.ops.init_ops) with dtype is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Call initializer instance with the dtype argument instead of passing it to the constructor\n",
      "WARNING:tensorflow:From /opt/CHINESE-OCR-API/ctpn2/ctpn2.py:25: The name tf.train.Saver is deprecated. Please use tf.compat.v1.train.Saver instead.\n",
      "\n",
      "Restore from ctpn2/checkpoints_mlt/ctpn_50000.ckpt\n",
      "INFO:tensorflow:Restoring parameters from ctpn2/checkpoints_mlt/ctpn_50000.ckpt\n"
     ]
    }
   ],
   "source": [
    "from ctpn2.ctpn2 import CTPN_model2\n",
    "from PIL import Image\n",
    "import cv2\n",
    "import time\n",
    "from IPython.display import display\n",
    "from ocr.ocr import CrnnOcr\n",
    "import ocr.model_net as mn\n",
    "\n",
    "\n",
    "ctpnmodel = CTPN_model2('ctpn2/checkpoints_mlt/')\n",
    "\n",
    "crnn = CrnnOcr('ocr/model/model_acc97.pth')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cost time: 3.50s\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array([[368, 698, 416, 698, 416, 712, 368, 712,   0],\n",
       "       [256, 629, 304, 629, 304, 643, 256, 643,   0],\n",
       "       [416, 554, 528, 554, 528, 570, 416, 570,   0],\n",
       "       [ 32, 549, 112, 549, 112, 562,  32, 562,   0],\n",
       "       [ 48, 317, 112, 317, 112, 332,  48, 332,   0],\n",
       "       [240, 602, 352, 602, 352, 617, 240, 617,   0],\n",
       "       [ 16, 350,  80, 350,  80, 370,  16, 370,   0],\n",
       "       [ 16, 785, 112, 785, 112, 800,  16, 800,   0],\n",
       "       [416, 780, 528, 780, 528, 799, 416, 799,   0],\n",
       "       [ 64, 126, 112, 126, 112, 141,  64, 141,   0],\n",
       "       [320, 736, 416, 736, 416, 752, 320, 752,   0],\n",
       "       [ 16, 757,  96, 757,  96, 770,  16, 770,   0],\n",
       "       [320, 692, 368, 692, 368, 707, 320, 707,   0],\n",
       "       [304, 196, 368, 196, 368, 210, 304, 210,   0],\n",
       "       [240, 395, 352, 395, 352, 409, 240, 409,   0],\n",
       "       [192, 758, 256, 758, 256, 771, 192, 771,   0],\n",
       "       [400, 309, 512, 309, 512, 325, 400, 325,   0],\n",
       "       [304, 659, 384, 659, 384, 673, 304, 673,   0],\n",
       "       [ 32, 421,  96, 421,  96, 434,  32, 434,   0],\n",
       "       [ 16, 767,  96, 767,  96, 782,  16, 782,   0],\n",
       "       [192, 768, 256, 768, 256, 783, 192, 783,   0],\n",
       "       [ 48, 249, 256, 249, 256, 268,  48, 268,   0],\n",
       "       [ 16, 736, 208, 736, 208, 751,  16, 751,   0],\n",
       "       [192,  49, 384,  49, 384,  71, 192,  71,   0]])"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "im = cv2.imread('test/1122.jpg')[:, :, ::-1]\n",
    "img, (rh, rw) = ctpnmodel.resize_image(im)\n",
    "\n",
    "boxes = ctpnmodel.predict(img)\n",
    "boxes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "由金洲同\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=48x14 at 0x7FA0BC26D5C0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "，3092:\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=112x16 at 0x7FA0BC26D5C0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "发机心手用宗\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAFAAAAANCAIAAACxY37TAAAHlElEQVR4nGVWyXIdxxGs6n22twB6BkCRCiIQvPGjdfPVEQ77VyySJoOGFQSFh7fM2nu3D03Ckl2niZmema7OrMzEv/31zwCAiIgIAADAOPPeEyRSSmMMIYQgMVpzRlOMOeeyPuecUkLEEAIiMsYAgDFGCAkhxBgppVLKZVmWZVFKCSFijGUZpZQQEmMkhGitETGlmDMQQnLOOWdCCCISQsrXUkqcc0Q0RlPK5nl+8eLFb7/9VlVVjLGu677vpZRaayklJcR5TwhBgBBj/mMRyIAZIEO5wAxm0WYxBDDHBDkTQILIKEUASimlFBFTSqVb61zbtkqpeZ5DCJxzSilj7HnNt63jt0o5M8Y450gIAHjvEdF7TwiVUhJC4vcvE0IAIKWUc37+b4FGSplzZpxba421iMg5zwCc8xCjsRYACCGACAAFoVKISAqsCIDf7zLGc0qMsRBC8AERkRBKaTnpck4FJSGEFIJSGmMsIHjv53nOObdtG0IYxxEAlFKMC601IYQghhCMMTEEKSWldLValUMJIVhrIWcppVKKc/4MS4wxeI+IbdsSQhjjxphKKUop5JxSMsbM08QYI4jee++9McZaG78jXLoFAIYZ/qfnzXYbrOOETstojWFIcs6Ekpxz6TmlhICMs5wzJWS/32ujN+tN27aFn5xza+yyLDHGnJIPoapyTIlzviw6pUgIUUpRSqdxctbFGHPKMcWcs5QSAPq+N8Zwzuu6FkI456Z5zikzzsovjDGvXr3inKeUvPeHw8EY89NPP5UpiDF675SqChjP3SIi+3+Ef/33/efP/7q+vh6GgXMupQwhVJVKKWmtrbU5Z865iMJ737bt6XTKOV9fXS/LPI5TVVXW2mEYUqFJjIfDYbvdXl5eIuL5fGqaprBXa/3u/TsA+PHHH+u6YowX6o7j+OnTp2WZX758RSmtKpVzPh4Pj497ay0A1HV9Pp+vr69DqRj2+/3j42N5pJTKOY/jSAit6zrnXBSnzBSD/K3b54Y/fvj48eNHSNl7v9vtlJBLiMGHc38+n8/aGCnEarWilALAPM/H43G9Xi/L8uHDP6UUd3d38zwTQowx3nvG2DiOggshBCL2w7BarTjn1tppmu7v76uqurm5YZxLIUMI2phxHI/Ho/feOTcMPaWUcw6AWuvj8aiUqqqqDMiyzH0/EELGcXTOPT09SSmvrq445/M8KaWkkmWM/yvJAAkQnzvOkFfrru2abtWGEFbrrqrVNI9m0YfD0+FwcM5tNpuuaymjgrPPn+9//fWe0tvHx6/v3v3y5s1d13U555zyw8PD0+HpcnuRcj7358f943a7jSEUKZ6maRiGGGMBXElFCJnGadGLd76qqrquGWPTPANg13WMsbZtnXNCiNVqNY6jUkprMwwDYyyldHNzU8RfKVVX1fF4RESCJEGC3xWJOSSIlBMuWcph0ZNxerVpP99/GqZe26Ufz7LijBFCYFkmxsnFxUZKHoOXUiCktm0AknPm5cubm5urENwwnL88fPnw4cN2s63q+vLykjG2Wq0IwbquALFI4Ol02u12h8Phy5cviBhjNNaEEPqhX5bFGDNOY1M3bdtwzkOIgvMiePv9vmma0+kEiG/fvqWMMsaWZRmG4fb2dVVVlDFEXJYFATkVnAlKGEGKQAhizhBj9NbqRc/TNGo9d117eXlhrX737h/v3/9irVmtu816vVp3ztph6KUUXdcMQ08IGKOnaajrerXq5nmepoFSorV+/fp1VVVPT0/FHjnnxlitTU4JAEII1tky58MwPD4+ppQ2m83Fxfb6+nq32zHGUkyUUkKoc07rJeXcNu3t7W2RlbquN+v1orU1tuhc0zTDMKaUjsdjTqlumlj08JvPUVYMs9idc05rbYxp23aaJq21UurFi5uLi8umqfu+74deSTWNU0GmOMTr21ttDKV0u90aYx4eHsZxbNuuruthGH744Yc3b970ff/+/fubm5vtduucizH2fb/f78+nc7E359zXr1+VUk3ThBCqqqqqqpC2qHTRqqqqhBAXFxfn88laW4zwdDohYtd1AHB3d1de7/u+bprNek2QEEJ/T2n2HJtyzoBYNN0YU6Zrt/tTef94PHLOr66u6rqepmmZ52malFLOOamUFKKoRVGUtmkBWUqpaZrdbgeInPO2bXe73TiOIQTnXM55u912XUcpLaGtqEsIgXFe13XXttvNRinFGMs5d10nhEgpISFSKiFk8RvG2NXVlffeGlOcBQBKMoGcQ4pYosz3wr//5ecCctlH0cbiRiUGlrCBiEWWCxdC8JSyqqpD8DFGIQTn/HeZMaWElNJhGKy1dd2kFIUQQoh5nkv8stYKIbqu894DwDiOTdMwxpxzUkprbd/3bdtKKVLKhJDn+zlnvSxN2wIgQC4hp6h013XOOWNM0YgCYgx/SJfs+QoAOOeMsSKPlNKYYgyxJEHGmPdea112GWN0zhFCUopt20KGaZ5KkLbWWutyJsUSGWNSykLL4EPxmEKEkh+dc1VVNW2TYirhFACEEOv1GhFTysXbyuKcMyBIpbq22z/tS96klKaUhBAlkxQ3LjELAR344sAlz/0HP7FvTBfEn7YAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=80x13 at 0x7FA0BC26D6A0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "出生医学让明辱粮\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=112x15 at 0x7FA0BC26D550>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "。怎签\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=64x20 at 0x7FA0BC26D630>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "著龙取何专项宋\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=96x15 at 0x7FA0BC26D630>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      ".工---?0市\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=112x19 at 0x7FA0BC26D4E0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "育麒特证--。\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=96x16 at 0x7FA0BC26D630>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "法注人出社\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=80x13 at 0x7FA0BC26D630>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "布亚意”\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAEAAAAAOCAIAAAAQWY2VAAAHB0lEQVR4nD2WOW8kRxKF8z7q7IsciuSsBAkjaP6/vc6uM8A6MmRJ1jRAkMW+2F2VVXnHGrlaL42qyMiI974I/Pvv/xmNUVJyzs/nM+dcShljpJSmlDjnxhhACHIWQuScQwh1XXMhPi6XcqaUzvPMGLN28SESjAEhpZQQIiEIIYQQOOda6xjj7XbbbrclTgjBWhtjrKpKa40xBoBpmpx1ZjYxxu12K6UkhGw2m/P5LKXc7/fee2PMTz/9JKUEAJZixAhZa9/e3qZp6rqu/KMrnXO21hpjcs4AsF6vGWM5Zx+8c+7t7e16vT4/f/78+dla2zTNy8uLc2632xljgvdd3wslc07eA8L4dDqdz+emaeyyUMaWZbler8YYa23Xdbvdrq5qyqhzbngfpmmilDLOt5vN7m5nF/vt27f7+3sAQAjFGFJKCGGMEVuWxYVgjPnrr79ijE9PT1rruq6FEDHGaZrOl3MMMaVECBFC7Ha7GOOff/75/ft3AKCUAuSu65xz5bVaaefdPM+A0E7eE0wBAAGcz+dhGPq+B4Ryztfr9XQ6OeemaVqWhTHGGJNYhhC89zlnSmlO6XA49H0/z7MxpkhgnueUcgyREJwzMMoYjjGldLlcOOclp7quCSExxo+Pj+Ph+P8+bDabvu8BgBDStO3H+fLy8hJj/OWXXw6HQ04phDC8D0KIcZoYY7qu3obBWvvzzz+v1+vz+TyOY9u2AGCMCSG0bZtzxhjnnJ1zOeeUkhACAADAe9/3nff+er2mFHPOp9NpWRbO+dvwVtWVUooRjErSlFKlVInFOV+WxXtvrS3vAYCu656en3POLy8vIYS2ad5eX+u6/u2331LK1lqpVAMwzzMAIECEFhXwaZpeX1+99yEEY4xzTmuNAFVV9fT01DR1CHG32wkhCCar1UpK+fHxUUr+/Pw5xrgsC0LYWgsZ7u7vBBf7/f7x8bFpGuZ9cM4JIbquKz6bpinGmFIu9VBKaa0ppavVSnCOEcYYF5dXVbXb7Z6fn9/fD6vV6jbe2raVUt5ut6ap+76XUmw2mxDC6XQCgLZthRDTNLVtq7RCCLVta60l5H8wwBhzwYUQ4zgSQrabzeVyCSE8PT21bfvp06fD4eCcG4bh/v5eax1DYAghIQTnfLvdKqWWZUkxEkKUkjEGQggA5JwXa4dhOJ9OX3799fHxkTGGEIohEEqHYUAIaa0v5wtTTGt9OBz61appGuf9x8fVOdc0zcPDQ1VVh8MhxkgIqaoqxphzjjGmlFJKMUaMMecMEHjvMcZVXVdVtSyLEAIhNE2jlLK8+e7urm2acZrwv//1z/uHh/1+H0KoquqPP/748cd/bLe7ErRIqGkaY8z379/7vr+/v8cYK6Uul8vhcPjhhx8KdnNKKWf2N16qquKcZ4woY5gQzlixYFGm1jrEmGIsKAQAIQQlxIegtc45D8Ogq0pwjjFmnN+u11Iyxlhd18MwNE1TOsYK70sT+r7/8uVLGQU5Z631PM/jOFpr67r++vVrCIEQMs9z0zSPj48ly3meKaUp5xijEKJpmpwzZUxKab2z1gohKq0ppTlnxpjW2nsvOHc5j+MopVRKee8xRlKqnLLzTmtdV9XxeFyW5eHhIWfw3jPGxmkqknHOcc4ppQwAlnlBCJUB0TTN8XhkjJO/yVA67pwrJAXIxhjGWFFzVVUpJ6VUUYL3vhAmpqSUGs00GtO1bcoZI1QmIwC8vr5KKWNMx+Oh67qiCq2192GeZ+dcVVVN0yzLst/vhRDGmJRS3/fTNEHOq9VqWRaEEEKIcc4RQpzz2+12vd26tr18fDDOU4xlTBYTj+N4PBwen56ElLMx3nvv/TRNd3d3ADC8DQihEAJjDAButxtCWGk1zWZeFoIxQuB9oJRuNpt5nvf7fdM0Uspi1sKZpmmsc85ajLH3XikFAM45Y0xxjhBiWWbO+Xq9YowRQgghjFCKMBJCUErNNEHOjFLv3Pl8XpYlpaS0rrROKfkQAMBZe73dpJSUUu/9+/v7NE2MsbbtKCUIoYJdKSUmOANwIaSU3gdjDOe8oNk6V5aLuq4ZpcXN8zKPt7HSVdd3ZQmglH769Kmu6+PxWBSPMAEA53yZHoQQFkPICFFKpZQF/5vNJgS/LEv5KIYwZ+CCd13HOS9a4pw3TZMzWLs45+qqUkpijBljlFIAwBhLqbiQMaecc6koISR4DwCrvldKlXlflKmUyjlDhu12u9lsxnHknGOM27aRUhXRVlWVUir4KosTADBCcRnLXdd674bhveu6aRpXq1WBgywXhxBDKLeW9YsQklK6u9vtdjtKqVYqplQAUFCjlGKCx5TKeb1eA0CMkef8/PzMGFNKhRCKkYoNipCEEEqpkighBCG0Xq/7vrfWFifEGDGhjFKM8X8Bj7Y4O2akdU4AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=64x14 at 0x7FA0BC26D5F8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "田华院学张项小顶\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=112x14 at 0x7FA0BC26D5F8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      ".32503\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=112x16 at 0x7FA0BC26D5C0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "行瓶时那\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAFAAAAAOCAIAAAA39wx9AAAHR0lEQVR4nHVXXXLjOA4GQJASZSV2EqfbmZqXOdWeYA+wR52qmfeZ6tl2klZPbMmSRZEE9oG2q6t2F65SSZQI4ufDBxj/9c9/KKExhEgAAACqKiIiGQCLAEC5qurt/vYKAIwx5VX5BhGNMQY4LSnGyMzW2pyziBBRSulHnUVPBsgAgNcjEYtCyVkB8PpDvBl1ORoRCZGMISIAuK3CVQTB+lavj0xEGTTHlEURFBARUAFAlQwaIiKDhKig1+MJQQEAibCoxnISGlKAHGNKmSIysYoCgqLGGGNaDLGtWIQUBYEuPpfdqgoCegnrTXLOAEBEiEhEhESIAECAAKAX7+jmv6he1vESDgWKMd4cJgJ0hpvKG8QUojVMAMs8owIpSEx5iSiKCjEEzRlVISsqkCpIsUqWFM8hGLZIRMzWOefrKIkrNpZO05A11a1X0tP5lCSO80gGh3OvIEA6h6luqhLbLGk49TEtYZkBFQkUZPfyeTj1CsLWVLWrrLXMjfe1c2EOOaUlLIhYew+GNk+Pd5v7mBMgxJykZIUMkAEk7rpuWZZhGIjo5eWFyRz6YRxHaXLbtmw455yWaIxhMqoKoiVuClqAVwCMiMNpGMZTTGlZltpVzloAMETW2Qy5749936eUnp+fjTHOO5/9kpfT8RRCsL5CJMNcVRUzq+q3b9/Gcdztdm9vb4hYVdV6vd7v9zHGu1UrSSRlWzm21nt/nudhGJYU397f/73/KiJ39/fb52cLMAxjbaxe0AD8559//vzzz8x8Pp+naVJVa+1qtRqGwTeNczbnnFICgFKHJacFLqoKiKKKiM65j/f3b10noMMwrO/un5+eUkrGuaqqpmn6/v173/eqSkTe+/V6zZYPH4f9fo+I7KpxnFftarPZWGuLcSnnEMJ0Pg/DICK73W6z2eSUK+sOH4c//vgjSb5fr3/66Se2tsRdREBhOJ3Y2o+Pj7ZtCyXdyIKcc3d3dyWo1tlSKsaYeZ6XEFLKZQURRUREirc3t1VVJBdmyjnHGBGx8JN1DvFCgcMwHI/HEs23t7dxmk6nU4rpdDod+6Oonqfp9XX/999/j+M4TdM4jufzWUW6rpOcQwi///77b7/9lnN2lRuncQnLNI0AwMylyAFgv3/9+vVrgdiXv/769ddfv3z5Ugy4GcyPj4/zPL++vgJAu2rruj4ej+N4AoCUUkqJiIrSGCNcyaGAWQs9KBSNJVLMXJwHVREJIeScu64LIWy3WzY8jqOv6wKWnDMoVJVDImO4qqqmaVT1eDx2XReW5dPzc13Xbds2TWOMSSlZtiLSdZ217pdfflmv19a5LPlwPHXdt+Px2N7f1b6GsBRtnz9//jj0AFJ4jA/9ERHv7+9jjH3fA4D3Pud8Ps8lbAoXSFyRfPUSCVRLA2DmGGPRKCLW2hiXcRx9VRNRCKEUyMPDZhyntm23222MUUSYTdM0zDanVFCmqqWNGWMQIKXU9733/unp8dOnTznnOczMvCyhBL37/h0A1ptNqRTvfd/3T09PRLTdbnPO4zgYUzoVAgANwzDP82az8d6XMrtgnaiqKuecZJnnOcZYLCjFrwqqlwsiWmtDCKoX5DRNw9aGEFJK9iqb9Xq93izLgoB1XZf0GsPe+1IhbbsahtN+vz8cDgDQtu3Dw0PxPMbYdd8Ph0NKaRiG/f61FPk0Ta/7fdd1AOCcq6rKez/PMwAcDocY4/v7++FwICRCQFQE4c1mo6rFspuWeZ7rujbGlOotuS3TRZELtLX0X1DVGKOqsmUkcs4ZpEJp1loReXh4eHx8VNVxHIlonmciRAREstYaZlfVzBUcPmKM0zTVde29B4Ddbnc+n5dl6boupbRareZ5Hg59XddQXfjPVZUxRkGrqt5ut82qKamu67pwuyECuFAOv7y8EFxo6cZG3nskLIEwxlSuKo+34QZ+EBVNKRXf1uu1lGJuGonJ1zUzL8vy/Py8vr+fzmdEvLu/n6apbVtEci4ArKyzztWAvNvtbrXjnFOFpmlEcj/0u92uUG7l3G630yw5pZiTqyprbc7J1bX3tatce3/XD/3j42PTNOv1Ouccl/niGgCv7lpznW8KDxeO/XGWLDm8OfzfknMmxMo56xwaMsYwkWSxxhCRs7ZMZlVVvby8lE4bYyy4zSllVSLD7BRUr4eWawjBGN4+PYmoMUYBjDG1ZwJC1awqKqqgAHFZSpjImPKl956IUorDMNB1IGVRRdEylEm+SOlpJXulZV9o+X/5fOF9ACQypVBEkigbIyJxiWX7PJ8RcbVaFW9DCERkrSXnIEW9TomgWlpgUR5CYOa69gVukhIyE5llWQwSGiIkAS1pyiKlqTKzAOSc53le5pkQDZFhNkQsIqSXYfg2siIiEiqAqNwA/P8yXEir3ClokgtQsJAjQJkKSkrrul6WpWwUkdK3ERCIsghcM/xj+RSCuBiACKqlpYkKXv9sMDMjZhWkSy4JsWQCidgYNsRsjKH/ACIDRKC4o5P9AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=80x14 at 0x7FA0BC26D4E0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "心拉名\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=64x13 at 0x7FA0BC26D4E0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "外导-法烈日\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=208x19 at 0x7FA0BC26D5F8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "有账章价辽作泰州原长。江\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=192x15 at 0x7FA0BC26D668>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "出生医学证明\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=192x22 at 0x7FA0BC26D6A0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3.182615041732788\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "'由金洲同，3092:发机心手用宗出生医学让明辱粮。怎签著龙取何专项宋.工---?0市育麒特证--。法注人出社布亚意”田华院学张项小顶.32503行瓶时那心拉名外导-法烈日有账章价辽作泰州原长。江出生医学证明'"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "textall = ''\n",
    "start = time.time()\n",
    "for rec in boxes:\n",
    "    xmin = min(rec[0], rec[6])\n",
    "    xmax = max(rec[2], rec[4]) \n",
    "    ymin = min(rec[1], rec[3]) \n",
    "    ymax = max(rec[7], rec[5]) \n",
    "    partImg = img[ymin:ymax, xmin:xmax]\n",
    "    image = Image.fromarray(partImg).convert('L')\n",
    "    scale = image.size[1] * 1.0 / 32\n",
    "    w = image.size[0] / scale\n",
    "    w = int(w)\n",
    "    transformer = mn.resizeNormalize((w, 32))\n",
    "    image = transformer(image).cpu()\n",
    "    \n",
    "    text = crnn.predict(image)\n",
    "    if len(text) > 2:\n",
    "        print(text)\n",
    "        textall = textall + text\n",
    "        display(Image.fromarray(partImg))\n",
    "print(time.time()-start)\n",
    "textall"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import re\n",
    " \n",
    "str1 = re.sub('[a-zA-Z0-9’!\"#$%&\\'()*+-./:;<=>?@?★、…【】《》？“”‘’！[\\\\]^_`{|}~\\s]+', \"\", textall)\n",
    "\n",
    "print(str1[0:100])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
